Isabel Schlangen

According to our database, Isabel Schlangen authored at least 12 papers between 2010 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Towards Human-Machine Integration for Signals Intelligence Applications.

Jonas D. Rockbach, Luka-Franziska Bluhm, Isabel Schlangen, Laura Over, Sabine Apfeld, Lukas Henneke, Kevin Wilkinghoff

Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2022

2020

Joint Registration and Fusion of an Infrared Camera and Scanning Radar in a Maritime Context.

David Cormack, Isabel Schlangen, James R. Hopgood, Daniel E. Clark

IEEE Trans. Aerosp. Electron. Syst., 2020

A Mnemonic Kalman Filter for Non-Linear Systems With Extensive Temporal Dependencies.

Steffen Jung, Isabel Schlangen, Alexander Charlish

IEEE Signal Process. Lett., 2020

Time-Dependent State Prediction for the Kalman Filter Based on Recurrent Neural Networks.

Steffen Jung, Isabel Schlangen, Alexander Charlish

Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

2019

Sequential Monte Carlo Filtering with Long Short-Term Memory Prediction.

Steffen Jung, Isabel Schlangen, Alexander Charlish

Proceedings of the 22th International Conference on Information Fusion, 2019

2018

A Second-Order PHD Filter With Mean and Variance in Target Number.

Isabel Schlangen, Emmanuel Delande, Jeremie Houssineau, Daniel E. Clark

IEEE Trans. Signal Process., 2018

Distinguishing Wanted and Unwanted Targets Using Point Processes.

Isabel Schlangen, Christoph Degen, Alexander Charlish

Proceedings of the 21st International Conference on Information Fusion, 2018

2017

Joint multi-object and clutter rate estimation with the single-cluster PHD filter.

Isabel Schlangen, Vibhav Bharti, Emmanuel Delande, Daniel E. Clark

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

Marker-Less Stage Drift Correction in Super-Resolution Microscopy Using the Single-Cluster PHD Filter.

Isabel Schlangen, Jose Franco, Jeremie Houssineau, William T. E. Pitkeathly, Daniel Edward Clark, Ihor Smal, Colin Rickman

IEEE J. Sel. Top. Signal Process., 2016

A PHD filter with negative binomial clutter.

Isabel Schlangen, Emmanuel Delande, Jeremie Houssineau, Daniel E. Clark

Proceedings of the 19th International Conference on Information Fusion, 2016

2014

A novel approach to image calibration in super-resolution microscopy.

Isabel Schlangen, Jeremie Houssineau, Daniel E. Clark

Proceedings of the International Conference on Control, 2014

2010

Different Tools for Clutter Mapping.

Isabel Schlangen, Martina Daun

Proceedings of the 40. Jahrestagung der Gesellschaft für Informatik, Service Science - Neue Perspektiven für die Informatik, INFORMATIK 2010, Leipzig, Germany, September 27, 2010